“We are not taking part in the scaling race with our algorithms”
In a recent interview, Prof. Dr. Björn Ommer, Chair of AI for Computer Vision and Digital Humanities/the Arts at LMU, discusses the current state and future of AI, focusing on the development of more sustainable and efficient AI models. He critiques the prevailing trend of scaling up large language models (LLMs) for AI, which demands immense computing power and energy, and advocates for smaller, more efficient models like his Stable Diffusion app.
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